Research map / Learning theory and algorithms / Prediction and decision losses
DORO: Distributional and Outlier Robust Optimization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add outlier trimming to CVaR | CVaR · COMPAS | average accuracy: 68.52 -> 69.38 | Helped |
| Add outlier trimming to CVaR | CVaR · COMPAS | worst-case accuracy: 68.22 -> 69.11 | Helped |
| Add outlier trimming to χ²-DRO | χ²-DRO · COMPAS | average accuracy: 67.93 -> 69.62 | Helped |
| Add outlier trimming to χ²-DRO | χ²-DRO · COMPAS | worst-case accuracy: 67.32 -> 69.22 | Helped |
| Add outlier trimming to CVaR | CVaR · CelebA | average accuracy: 82.83 -> 92.91 | Helped |
| Add outlier trimming to CVaR | CVaR · CelebA | worst-case accuracy: 66.44 -> 72.17 | Helped |
| Add outlier trimming to χ²-DRO | χ²-DRO · CelebA | average accuracy: 83.85 -> 82.18 | Hurt |
| Add outlier trimming to χ²-DRO | χ²-DRO · CelebA | worst-case accuracy: 67.76 -> 68.33 | Helped |
| Add outlier trimming to CVaR | CVaR · CivilComments-Wilds | average accuracy: 89.11 -> 90.45 | Helped |
| Add outlier trimming to CVaR | CVaR · CivilComments-Wilds | worst-case accuracy: 63.90 -> 68.00 | Helped |
| Add outlier trimming to χ²-DRO | χ²-DRO · CivilComments-Wilds | average accuracy: 90.08 -> 90.11 | No clear effect |
| Add outlier trimming to χ²-DRO | χ²-DRO · CivilComments-Wilds | worst-case accuracy: 65.55 -> 67.19 | Helped |
Closest papers by meaning
- Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization (AAAI 2024 · similarity 0.90)
- Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport (NeurIPS 2024 · similarity 0.90)
- Distributionally Robust Optimization with Bias and Variance Reduction (ICLR 2024 · similarity 0.87)
- Distributionally Robust Performative Prediction (NeurIPS 2024 · similarity 0.87)
- Distributionally Robust Performative Optimization (NeurIPS 2025 · similarity 0.87)
- Statistical Properties of Robust Satisficing (ICML 2024 · similarity 0.87)
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